Jumpol Polvichai

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Coordination of large numbers of agents for performing complex tasks in complex domains is a rapidly progressing area of research. Because of the high complexity of the problem, approximate and heuristic algorithms are typically used for key coordination tasks. Such algorithms usually require tuning of algorithm parameters to get the best performance in(More)
To understand behaviors of any nature living system, a lot of experiments have to be done especially on the actual living system. Alternatively, artificial life is a sub field in artificial intelligence in which living behaviors are simulated and analyzed within computers. Virtually, artificial life can be roughly used to study of living behaviors and(More)
The objective of this work is improving for Statistical Machine (SMT) by using Self - Organizing MAP (SOM). In general we have 2 processes for Training and Translating. Training process is use for preparing resource from a number of bilingual corpuses, which are used for translating process. But, we still have a lot of irrelevant resource of data. Major(More)
A behavior-based approach has been effectively applied for the design of robot control systems, and evolutionary algorithms have also been implemented as the approach to generate the robot control systems automatically. In this paper, we propose an integration of both concepts as an automatic behavior programming system. By adapting from the idea of(More)
Self-Organizing map (SOM) is a type of artificial neural network (ANN). It is the most well-known in unsupervised cluster or data classification. Consequently, this paper aims firstly to develop SOM algorithm with fixed possible matching units in order to apply with remote sensing of unsupervised classification. Secondly, it is to classify remote sensing(More)
This paper presents an algorithm for multi-robots maneuverability solutions. The algorithm instructs multi-robots, in groups, into computer programmed geometry shapes. Fuzzy Logic Control (FLC) [1, 2] is also applied, which allows each robot to autonomously adjust and avoid obstacles or other robots, while moving toward its assigned position. The system(More)